Journal & Article

Software Engineering

I/F
# Journal I/F

IEEE Transactions on Services Computing

A Blockchain-Based Cross-Domain Data Transmission Scheme for Industrial Internet of Things With Edge-Cloud Computing A Game-Theoretic Approach for Microservice Request Dispatching in Mobile Edge Computing Systems A Heuristic Big Data Processing Multi Task Efficient Deployment Method Based on QoS Aware Clustering and Bayesian Classification in Cloud Environment A Novel Reciprocal Dual-Channel Preference Extraction and Refinement Network for Category-Aware Service Recommendation A Reinforcement Learning-Based Population Hyper-Heuristic for Energy-Efficient Cloud Workflow Scheduling Problem A Service-Oriented Optimization Framework for Edge Caching With Revenue Maximization and QoS Guarantees A Two-Stage Learning-Driven Many-Objective Memetic Algorithm for Solving the Workflow Scheduling Problem in Cloud Environment A Utility-Optimal Reverse Posted Pricing Mechanism for Online Mobile Crowdsensing Task Allocation Accurate and Interpretable Log-Based Fault Diagnosis Using Large Language Models An Effective Multi-Scale Contrastive Learning System for Online Group Recommendation Services in Event-Based Social Networks ARMM: Sandwich-Attack Resilient Automated Market Maker Calling Out Trustless Users: A Trust Propagation Scheme for Decentralized Trust Management CATScaler: A Convolution-Augmented Transformer Scaling Framework for Cloud-Native Applications Computing Offloading for Digital Twinning Empowered Industrial IoT DAppCheat: Detecting Cheating Robots for DApps on Multiple Blockchains Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions Deep Learning and Feedback Control Based Container Auto-Scaling for Cloud Native Micro-Services Deep Learning to Hash for Time-Aware QoS Prediction Based on VQ-VAE DiffMSR: A Multi-Semantic Graph Diffusion Model for Service Recommendation Disruption-Aware Microservice Re-Orchestration for Cost-Efficient Multi-Cloud Deployments Dynamic Food Delivery Problem Based on Spatial Crowdsourcing Dynamic Function Placement and Request Scheduling of Serverless Workflows in Edge Environment Efficient Seamless Task Offloading Based on Edge-Terminal Collaborative for AIoT Elastic Computing Services E-Log: Fine-Grained Elastic Log-Based Anomaly Detection and Diagnosis for Databases Enabling the Awareness of Video Perceived Quality for Short-Form Video Streaming Enhancing Game Policy Optimization in Mobile Crowdsourcing: A Reinforcement Learning Approach EPPQ: Efficient and Privacy-Preserving $k$NN Query Processing for Outsourced High-Dimensional Data ESR-MHFL: Edge Server Reallocation for Multi-Hierarchical Federated Learning Extending IoT Devices Network Lifetime Using IoT Service Prediction and Recommendation FrigateBird: Decoupling Metadata/Data Services for Continuously Fast Object Storage HG-PAD: Heterogeneous Graph Structure Learning Aided Performance Anomaly Diagnosis in Microservice Systems Integrating Functional and Structural Semantics for Web API Recommendation via Multi Meta-Path Aggregation IRS-Assisted Hyperspectral Image Processing in Satellite Edge Computing Services Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage J$\text{C}^{5}$A: Service Delay Minimization for Aerial MEC-Assisted Industrial Cyber-Physical Systems Magneto: Load-Balanced Key-Value Service for Write-Intensive Workloads MicroForge: An Integrated Platform for Accelerating Experiments in Microservice Research With the Universal Evolution Model Model Caching and Application Offloading for Mobile Edge Intelligence Network With Learning-and-Optimization Approach MPDA: A Massively Parallel Learning and Dependency-Aware Scheduling Algorithm for Data Processing Clusters Multi-Objective Unlearning in Recommender Systems via Preference Guided Pareto Exploration Optimizing Blockchain Shard Allocations Service: A Multi-Objective Evolutionary Perspective Privacy-Aware Joint DNN Model Deployment and Partitioning Optimization for Collaborative Edge Inference Services Privacy-Preserving Blockchain-Enabled Parametric Insurance via Remote Sensing and IoT $R^{3}$R3: A Building Block for Disordering-Tolerant Load Balancing in Data Center Networks Reducing Makespan via Optimizing Service Applications Scheduling Without Runtime Estimation Secure and Privacy Preserving Scalable GDPR Enforcement System Secure Optimization With Preferred Skyline Predicate on Incomplete Data Serving LLM in Distributed GPU Cluster With Fine-Grain Pipeline Constraints Slarm: SLA-Aware, Reliable and Efficient Transaction Dissemination for Permissioned Blockchains SNN-IoT: Efficient Partitioning and Enabling of Deep Spiking Neural Networks in IoT Services